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http://dx.doi.org/10.5370/KIEE.2015.64.2.228

A Study on the Optimal Resource Configuration Considering Load Characteristics of Electric Vehicles in Micro Grid Environment  

Hwang, Sung-Wook (R&D Strategy and Policy Office, KEPCO Research Institute)
Chae, Woo-Kyu (Micro Grid Research and Business Development Center, KEPCO Research Institute)
Lee, Hak-Ju (Micro Grid Research and Business Development Center, KEPCO Research Institute)
Yun, Sang-Yun (Micro Grid Research and Business Development Center, KEPCO Research Institute)
Kim, Jung-Hoon (School of Electrical Engineering, Hongik University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.64, no.2, 2015 , pp. 228-231 More about this Journal
Abstract
In power system research fields, one of current key issues is the construction and commercialization of micro grid site which is called green island, carbon zero island, energy independent island, building micro grid, etc. and various affiliated technologies have been being vigorously developed to realize. In addition, various researches about electric vehicles (EVs) are in progress and it is expected to penetrate rapidly with the next a few years. Some new load models should be developed integrating with electric vehicle loads because the EVs' deployment could cause the change of load composition rate on power system planning and operations. EVs are also resources for micro grid as well as distributed generation and demand response so that various supply and demand side resources should be considered for micro grid researches. In this paper, the load composition rate of residential sectors is prospected considering the deployment of EVs and the resource configuration of micro grid is optimized based on net present cost. In the optimization, the load patten of case studies includes EV's charging characteristics and various cases are simulated comparing micro grid environment and normal condition. HOMER is used to compare various cases and economic effects.
Keywords
Micro grid; Electric vehicle; Battery; Charging; Discharging; Load composition rate; Optimal configuration; Renewable energy; Diffusion model; Net present cost; Economic analysis; HOMER;
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